Data Repository associated with Latent Variable Modeling for the Microbiome

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Abstract/Contents

Abstract

This item contains data, fitted models, and model evaluation data associated with the study "Latent Variable Modeling for the Microbiome." Further, we include a docker image with all dependencies preinstalled, so that analysis can be easily replicated. See the README.md for directions on using the image. The code used to generating these results are available at the github link, and inside the docker image.

In addition to providing code for fitting models, our work describes ways to investigate modeling results, through relevant diagnostics and uncertainty assessments. Our experiments suggest that text modeling techniques can be a useful alternative to standard dimension-reduction methods when samples are collected with more complex dependence structure, as is often the case in microbiome data.

Description

Type of resource software, multimedia
Date created June 2017

Creators/Contributors

Author Sankaran, Kris
Author Holmes, Susan

Subjects

Subject microbiome
Subject probabilistic modeling
Subject data analysis
Subject model evaluation
Subject data visualization
Subject statistics
Subject Department of Statistics

Bibliographic information

Related Publication Sankaran, Kris and Holmes, Susan. (2018). Latent Variable Modeling for the Microbiome. Biostatistics. https://doi.org/10.1093/biostatistics/kxy018
Related item
Location https://purl.stanford.edu/mf740kp2295

Access conditions

Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Preferred citation

Preferred Citation
Sankaran, Kris and Holmes, Susan. (2017). Data Repository associated with Latent Variable Modeling for the Microbiome. Stanford Digital Repository. Available at: http://purl.stanford.edu/mf740kp2295

Collection

Reproducible Research Support for Statistics of the Microbiome

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